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Jiyang Wu
Junior Software Engineer specializing in cloud microservices and database systems
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About
Grad student who co-developed a safety-oriented mental health LLM consulting agent using RAG + Gemini and Hugging Face emotion detection to assess user crisis level and adapt responses. Implemented a key reliability improvement for CRISIS scenarios by bypassing generative output and returning direct, emotionless, knowledge-base guidance to seek immediate real-world help.
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Key Strengths
- Designed end-to-end multi-step LLM agent workflow for mental health consulting (emotion detection → risk assessment → Gemini generation → RAG augmentation)
- Safety-focused crisis handling: overrides generative output at highest risk level with direct knowledge-base instructions for real-life assistance
- Structured emotion/risk categorization into 4 levels using combined outputs from multiple detection models
- Modularized system into RESTful APIs for clear component boundaries and integration
- Used source-grounded evaluation to verify responses followed trusted consulting documents
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